Highway Cost Analysis for Platooning of Connected and Autonomous Trucks
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 147, Issue 1
Abstract
If connected and autonomous vehicles use highways under current lane management policy, only partial benefit can be reaped from the platooning of advanced vehicles. Agencies may have to update the existing policy in the near future because of the regular presence of connected and autonomous vehicles on the highways. The probable management approaches are likely to affect highway construction, rehabilitation, and fuel consumption cost. This paper studied a range of lane management approaches in terms of truck platooning and estimated construction and rehabilitation costs using existing models. It also developed a probabilistic approach of generating varying degrees of vehicle platooning to estimate fuel consumption in a simulated environment of highway segment. The results showed that, compared with a no-platoon approach, most of the approaches considered reduce construction cost but increase rehabilitation cost for a unit length of a highway. Fuel consumption cost decreases due to truck platooning with all possible approaches. If truck platooning is achieved by adding a separate truck-only lane, the fuel consumption benefits are considerably higher.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. Simulation and evaluation codes that support the findings of this study are available.
References
AASHTO. 1993. Vol. 1 of AASHTO guide for design of pavement structures. Washington, DC: AASHTO.
AASHTO. 2008. Mechanistic-empirical pavement design guide: A manual of practice. Washington, DC: AASHTO.
Al Alam, A., A. Gattami, and K. H. Johansson. 2010. “An experimental study on the fuel reduction potential of heavy duty vehicle platooning.” In Proc., 13th Int. IEEE Conf. on Intelligent Transportation Systems, 306–311. New York: IEEE.
Alam, A., B. Besselink, V. Turri, J. Martensson, and K. H. Johansson. 2015. “Heavy-duty vehicle platooning for sustainable freight transportation: A cooperative method to enhance safety and efficiency.” IEEE Control Syst. Mag. 35 (6): 34–56. https://doi.org/10.1109/MCS.2015.2471046.
Amoozadeh, M., H. Deng, C. N. Chuah, H. M. Zhang, and D. Ghosal. 2015. “Platoon management with cooperative adaptive cruise control enabled by VANET.” Veh. Commun. 2 (2): 110–123.
Baskar, L. D., B. De Schutter, and H. Hellendoorn. 2012. “Traffic management for automated highway systems using model-based predictive control.” IEEE Trans. Intell. Transp. Syst. 13 (2): 838–847. https://doi.org/10.1109/TITS.2012.2186441.
Browand, F., J. McArthur, and C. Radovich. 2004. Fuel saving achieved in the field test of two tandem trucks. Berkeley, CA: Univ. of California Berkeley.
Chambers, M., J. Goworowska, C. Rick, and J. Sedor. 2015. “Freight facts and figures 2015.” Accessed May 14, 2020. https://rosap.ntl.bts.gov/view/dot/32797.
Chen, D., S. Ahn, M. Chitturi, and D. A. Noyce. 2017. “Towards vehicle automation: Roadway capacity formulation for traffic mixed with regular and automated vehicles.” Transp. Res. Part B: Methodol. 100 (Jun): 196–221. https://doi.org/10.1016/j.trb.2017.01.017.
Chen, F., M. Song, X. Ma, and X. Zhu. 2019. “Assess the impacts of different autonomous trucks’ lateral control modes on asphalt pavement performance.” Transp. Res. Part C: Emerging Technol. 103 (Jun): 17–29. https://doi.org/10.1016/j.trc.2019.04.001.
Crainic, T. G., and G. Laporte. 1997. “Planning models for freight transportation.” In Design and operation of civil and environmental engineering systems, 343. New York: Wiley.
Dao, T. S., C. M. Clark, and J. P. Huissoon. 2008. “Distributed platoon assignment and lane selection for traffic flow optimization.” In Proc., 2008 IEEE Intelligent Vehicles Symp., 739–744. New York: IEEE.
Dao, T. S., J. P. Huissoon, and C. M. Clark. 2013. “A strategy for optimization of cooperative platoon formation.” Int. J. Veh. Inf. Commun. Syst. 3 (1): 28–43. https://doi.org/10.1504/IJVICS.2013.055766.
Davila, A., E. Aramburu, and A. Freixas. 2013. Making the best out of aerodynamics: Platoons (No. 2013-01-0767). Warrendale, PA: SAE International.
Fagnant, D. J., and K. Kockelman. 2015. “Preparing a nation for autonomous vehicles: Opportunities, barriers and policy recommendations.” Transp. Res. Part A: Policy Pract. 77 (Jul): 167–181.
FDOT (Florida DOT). 2014. “Project traffic forecasting handbook.” Accessed April 28, 2018. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/content/planning/systems/programs/sm/ptf/docs/ptf_handbook_2014.pdf?sfvrsn=a62d347d_0.
FDOT (Florida DOT). 2016. “Annual statewide averages: January 2016–December 31, 2016.” Accessed April 15, 2019. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/programmanagement/programmanagement/estimates/historicalcostinformation/annualswave/annualstatewideaverage16.pdf?sfvrsn=e0db54ee_0.
FDOT (Florida DOT). 2017. “10 year cost trends report by fiscal year.” Accessed April 15, 2019. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/programmanagement/estimates/trends/files/statewide-10-fiscal-year-2020-06-09.pdf?sfvrsn=7fa7a226_2.
FDOT (Florida DOT). 2018. “Flexible pavement design manual.” Accessed April 15, 2019. https://fdotwww.blob.core.windows.net/sitefinity/docs/default-source/roadway/pm/publications/fpdm201801.pdf?sfvrsn=149199e9_2.
Fonseca, G. B., T. H. Nogueira, and M. G. Ravetti. 2019. “A hybrid Lagrangian metaheuristic for the cross-docking flow shop scheduling problem.” Eur. J. Oper. Res. 275 (1): 139–154. https://doi.org/10.1016/j.ejor.2018.11.033.
Ghiasi, A., O. Hussain, Z. S. Qian, and X. Li. 2017. “A mixed traffic capacity analysis and lane management model for connected automated vehicles: A Markov chain method.” Transp. Res. Part B: Methodol. 106 (Dec): 266–292. https://doi.org/10.1016/j.trb.2017.09.022.
Ghiasi, A., O. Hussain, Z. S. Qian, and X. Li. 2019. “Lane management with variable lane width and model calibration for connected automated vehicles.” J. Transp. Eng. Part A: Syst. 146 (3): 04019075. https://doi.org/10.1061/JTEPBS.0000283.
Hall, R., and C. Chin. 2005. “Vehicle sorting for platoon formation: Impacts on highway entry and throughput.” Transp. Res. Part C: Emerging Technol. 13 (5–6): 405–420. https://doi.org/10.1016/j.trc.2004.09.001.
Harrison, H. D., and J. Pierce. 2009. Examining driver turnover and retention in the trucking industry. Nashville, TN: Tennessee and Vanderbilt Univ.
Highway Capacity Manual. 2000. Highway capacity manual, 2. Washington, DC: Transportation Research Board.
Hoque, M. M., Q. Lu, and C. Xin. 2018. “Effect of highway lane management policy of heavy vehicles on the cost of flexible pavement.” J. Transp. Eng. Part A: Syst. 144 (11): 04018072.
Janssen, G. R., J. Zwijnenberg, I. J. Blankers, and J. S. de Kruijff. 2015. Truck platooning: Driving the future of transportation. The Hague, Netherlands: TNO.
Jin, J., X. Ma, and I. Johansson. 2017. “Modeling and analysis of PID-controlled heavy-duty vehicle platoons in real traffic.” In Proc., 86th Annual Meeting on Transportation Research Board. Washington, DC: Transportation Research Board.
Lammert, M. P., A. Duran, J. Diez, K. Burton, and A. Nicholson. 2014. “Effect of platooning on fuel consumption of Class 8 vehicles over a range of speeds, following distances, and mass.” SAE Int. J. Commer. Veh. 7: 626–639. https://doi.org/10.4271/2014-01-2438.
Lee, Y. H., A. Mohseni, and M. I. Darter. 1993. Simplified pavement performance models. Washington, DC: Transportation Research Board.
Liu, L., L. Zhu, and D. Yang. 2016. “Modeling and simulation of the car-truck heterogeneous traffic flow based on a nonlinear car-following model.” Appl. Math. Comput. 273 (Jan): 706–717. https://doi.org/10.1016/j.amc.2015.10.032.
Lu, X. Y., and S. E. Shladover. 2011. Automated truck platoon control. Berkeley, CA: Univ. of California Berkeley.
Lyamin, N., Q. Deng, and A. Vinel. 2016. “Study of the platooning fuel efficiency under ETSI ITS-G5 communications.” In Proc., 2016 IEEE 19th Int. Conf. on Intelligent Transportation Systems (ITSC), 551–556. New York: IEEE.
Maurer, M., J. C. Gerdes, B. Lenz, and H. Winner. 2016. Autonomous driving. Berlin: Springer.
Nowakowski, C., S. E. Shladover, X.-Y. Lu, D. Thompson, and A. Kailas. 2015. Cooperative adaptive cruise control (CACC) for truck platooning: Operational concept alternatives.. Berkeley, CA: California Partners for Advanced Transportation Technology UC Berkeley.
Ostria, S. J. 2003. “Evaluation of U.S. commercial motor carrier industry challenges and opportunities.” Accessed May 14, 2020. https://ops.fhwa.dot.gov/freight/publications/eval_mc_industry/index.htm.
Qom, S. F., Y. Xiao, and M. Hadi. 2016. “Evaluation of cooperative adaptive cruise control (CACC) vehicles on managed lanes utilizing macroscopic and mesoscopic simulation.” In Proc., 95th Annual Meeting on Transportation Research Board (No. 16-6384). Washington, DC: Transportation Research Board.
Rakha, H., I. Lucic, S. H. Demarchi, J. R. Setti, and M. V. Aerde. 2001. “Vehicle dynamics model for predicting maximum truck acceleration levels.” J. Transp. Eng. 127 (5): 418–425.
Shladover, S. E. 2010. “Truck automation operational concept alternatives.” In Proc., 2010 IEEE Intelligent Vehicles Symp., 1072–1077. New York: IEEE.
Talebpour, A., H. S. Mahmassani, and A. Elfar. 2017. “Investigating the effects of reserved lanes for autonomous vehicles on congestion and travel time reliability.” Transp. Res. Rec. 2622 (1): 1–12. https://doi.org/10.3141/2622-01.
Treiber, M., A. Hennecke, and D. Helbing. 2000. “Congested traffic states in empirical observations and microscopic simulations.” Phys. Rev. E 62 (2): 1805. https://doi.org/10.1103/PhysRevE.62.1805.
Tsugawa, S., S. Jeschke, and S. E. Shladover. 2016. “A review of truck platooning projects for energy savings.” IEEE Trans. Intell. Veh. 1 (1): 68–77. https://doi.org/10.1109/TIV.2016.2577499.
Tsugawa, S., S. Kato, and K. Aoki. 2011. “An automated truck platoon for energy saving.” In Proc., 2011 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, 4109–4114. New York: IEEE.
Underwood, S., and S. Kannan Nagarajan. 2015. Impact of freight movement trends on highway pavement infrastructure. College Park, MD: Univ. of Maryland.
van Arem, B., C. J. van Driel, and R. Visser. 2006. “The impact of cooperative adaptive cruise control on traffic-flow characteristics.” IEEE Trans. Intell. Transp. Syst. 7 (4): 429–436. https://doi.org/10.1109/TITS.2006.884615.
Walls, J., and M. R. Smith. 1998. Life-cycle cost analysis in pavement design: Interim technical bulletin. Washington, DC: Federal Highway Administration.
Wang, J., and H. A. Rakha. 2017. “Fuel consumption model for heavy duty diesel trucks: Model development and testing.” Transp. Res. Part D: Transp. Environ. 55 (Aug): 127–141. https://doi.org/10.1016/j.trd.2017.06.011.
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© 2020 American Society of Civil Engineers.
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Received: Feb 6, 2020
Accepted: Aug 17, 2020
Published online: Nov 6, 2020
Published in print: Jan 1, 2021
Discussion open until: Apr 6, 2021
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